Face recognition unlock new scene, Vision Ecology Construct "future type" comprehensively
Face Recognition Technology by virtue of its unique performance on the ground more and more wide, from security to retail, transportation and other fields, the construction of the actual scene also stimulated its infinite application possibilities. What scenarios have it unlocked recently to aid in its intelligent construction?
Face Recognition Technology by virtue of its unique performance on the ground more and more wide, from security to retail, transportation and other fields, the construction of the actual scene also stimulated its infinite application possibilities. What scenarios have it unlocked recently to aid in its intelligent construction? Judging from the security exhibition held some time ago, face recognition technology is spreading all over the security industry. Face recognition cameras, face recognition gates, etc. , security Industry is committed to creating a face recognition technology as the core of security ecology. This direction of development in the transportation industry, intelligent buildings, intelligent transportation and other fields, but also a clear presentation. New scene of identification 2019 graduate examination Shenzhen Test site will use face recognition technology in the entrance examination of identity verification, face recognition technology unlocked a new application scene. In the view of north China industrial control, this is another key point to break the face level technology promotion process, behind which is the trend of stability, high quality, high efficiency face recognition technology support. In the field of identity recognition, whether it is traffic, retail, buildings and other scenarios, or to consider the point of identity recognition, face recognition technology has matured and matured, in the recognition of objects, recognition accuracy, recognition security improvements, both make the market more and more high to its acceptance, the promotion area will also meet the new height. As the face recognition technology tends to mature, the core face recognition technology will become the new power point to construct the vision technology ecological scene. For example, in the construction of intelligent driving vision scene, the single face recognition technology can not solve the construction of intelligent vision scene in its actual scene; Face recognition technology will arouse infinite potential, and the successful construction of vision platform will become an important cut-in point of input and output information and dynamic change of outside world. Therefore, the construction of a visual platform based on face recognition technology will undoubtedly unlock different possibilities in multiple scenarios. In the intelligent process, the most core is to use accurate, intelligent, high-efficiency machine to human, avoid error, improve efficiency. Face recognition technology becomes the entrance of information input because of its unique performance. In the process of artificial vision system being replaced by machine vision system, face recognition will undoubtedly play an important role in the construction of full vision platform. According to north China Industrial Control, this also means that face recognition technology will be linked with other technologies and work together. It also means that the intelligent change and progress of face recognition technology itself will enter a new stage, face recognition technology will become more "intelligent" . The first step in the direction of "intelligentization" is the continuous enhancement of deep learning ability. Deep learning technology is used in the back end of the information input, which can accurately identify the uploaded pictures and retrieve the background image data to return relevant information. The enhancement of deep learning ability requires the face recognition platform to be built in a more intelligent system to achieve functional integration. In addition, in the construction of visual platform, we should let the machine take the place of the human eye to better "see" the world, have the ability of observation and perception just like human, and also be able to continuously exert force in the fields of character recognition, object recognition and so on, to build a complete visual platform. The enhancement of Ai Vision ability is also very important for the upgrading of face recognition technology. For Ai Vision capabilities such as image recognition and image search, face recognition technology is needed to continuously upgrade in the process of moving from transportation and security industries to intelligence, strengthen the ability of intelligent linkage with the external environment. Recently, at the Baidu World Congress, Baidu deeply demonstrated the application of its "three-dimensional technology" in face recognition technology, and the face recognition technology began to build strength from "recognition scene" to "perception scene" , as its spokesman said: "Baidu vision from the initial single image analysis, into video, into three-dimensional, and constantly to the higher latitude development. ". This is all to better let the machine see, understand, see through our world, so as to better serve us." The possibilities are endless. In the development of face recognition, the first thing the intelligent hardware faces is the processing of large data flow. More accurate and efficient recognition, as well as the high latitude development of recognition technology, means that the whole face recognition ecosystem needs to make reliable decisions based on more data streams, and the amount of information input from outside is larger, so, for the hardware system data processing capacity to put forward higher requirements. From "recognition scenario" to "induction scenario" construction, which requires more in-depth learning technology to deepen the support. Using the neural network computing engine with excellent performance, it develops continuously. The ability to build neural networks that simulate the human brain for analytical learning, and the ability to mimic the brain's mechanisms to interpret data, is growing, and these functions require hardware industry efforts.
